LiquidBridge

LiquidBridge is a digital twin platform for liquid handling robots, built for bench scientists and lab automation teams who want to eliminate the costly cycle of trial-and-error protocol development. By providing a virtual lab environment, LiquidBridge enables users to simulate, validate, and optimize liquid handling protocols before a single pipette tip is consumed. The platform is developed by QPillars and is currently in active development, with an early access program open to select laboratories.

The platform directly addresses a well-documented problem in automated liquid handling: failed runs that cost upwards of $500 in consumables, require 2–4 hours of recovery time, and result in 20–30% reagent over-dispensing from uncalibrated protocols. LiquidBridge gives scientists a faster, safer path from protocol concept to validated execution by moving the development and debugging process entirely into a virtual environment powered by AI.

Core Platform Capabilities

• Protocol Simulation: Upload any liquid handling protocol and simulate it in a virtual environment before touching physical hardware. Catch errors, validate volumes, and predict outcomes entirely in silico.
• Visual Deck Editor: A drag-and-drop deck layout editor featuring real plate and labware models. Users can define their full worktable configuration visually and simulate liquid transfers across the entire deck.
• AI-Powered Optimization: CrewAI agents analyze protocols and surface actionable optimizations — including fewer tip changes, improved aspiration sequences, and reduced dead volumes — saving both reagents and time without compromising accuracy.
• Multi-Robot Support: LiquidBridge is not locked to a single vendor. It supports Hamilton STAR, Tecan FluentControl, Beckman Biomek, and additional platforms, allowing teams to define protocols once and deploy them across any supported instrument.

How the Workflow Operates

1. Define Your Deck: Use the visual editor to lay out the worktable, including plates, reservoirs, tip racks, and labware. The platform understands the geometry and physical constraints of each component.
2. Build or Import Protocols: Write protocols directly in the built-in editor, import existing Hamilton, Tecan, or CSV-based workflows, or use AI agents to generate protocols from natural language descriptions.
3. Simulate and Optimize: Run the protocol in the digital twin and watch liquid transfers animate in real time. AI agents automatically flag issues such as tip collisions, insufficient volumes, and suboptimal transfer sequences before any reagent is consumed.
4. Execute with Confidence: Export the validated protocol directly to the target robot. Every simulation run is logged with full traceability, and simulated results can be compared against actual outcomes to continuously improve simulation accuracy over time.

Early Access Program

• LiquidBridge is currently in active development, with a beta release targeted for Q2 2026.
• The platform is free to use during the early access period, with five lab slots remaining.
• QPillars is working with select laboratories to validate the platform and refine the simulation engine, particularly for teams running liquid handling workflows who want to reduce reagent waste and accelerate protocol development.

LiquidBridge is built on a modern technology stack including Next.js, FastAPI, and CrewAI, reflecting its AI-native architecture. The platform is designed to integrate with existing instrument ecosystems across major liquid handling vendors, making it suitable for labs already invested in Hamilton, Tecan, or Beckman automation infrastructure.